Data scientist jobs in Williamsport, PA - 505 jobs

Founded over 35 years ago, First Quality is a family-owned company that has grown from a small business in McElhattan, Pennsylvania into a group of companies, employing over 5,000 team members, while maintaining our family values and entrepreneurial spirit. With corporate offices in New York and Pennsylvania and 8 manufacturing campuses across the U.S. and Canada, the companies within the First Quality group produce high-quality personal care and household products for large retailers and healthcare organizations. Our personal care and household product portfolio includes baby diapers, wipes, feminine pads, paper towels, bath tissue, adult incontinence products, laundry detergents, fabric finishers, and dishwash solutions. In addition, we manufacture certain raw materials and components used in the manufacturing of these products, including flexible print and packaging solutions. Guided by our values of humility, unity, and integrity, we leverage advanced technology and innovation to drive growth and create new opportunities. At First Quality, you'll find a collaborative environment focused on continuous learning, professional development, and our mission to Make Things Better . We are seeking a Data Scientist for our First Quality facilities located in McElhattan, PA; Lewistown, PA; and Macon, GA. **Must have manufacturing experience with consumer goods.** The role will provide meaningful insight on how to improve our current business operations. This position will work closely with domain experts and SMEs to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements. Principle Accountabilities/Responsibilities Design, build, tune, and deploy divisional AI/ML tools that meet the agreed upon functional and non-functional requirements within the framework established by the Enterprise IT and IS departments. Perform large scale experimentation to identify hidden relationships between different data sets and engineer new features Communicate model performance & results & tradeoffs to stake holders Determine requirements that will be used to train and evolve deep learning models and algorithms Visualize information and develop engaging dashboards on the results of data analysis. Build reports and advanced dashboards to tell stories with the data. Lead, develop and deliver divisional strategies to demonstrate the: what, why and how of delivering AI/ML business outcomes Build and deploy divisional AI strategy and roadmaps that enable long-term success for the organization that aligned with the Enterprise AI strategy. Proactively mine data to identify trends and patterns and generate insights for business units and management. Mentor other stakeholders to grow in their expertise, particularly in AI / ML, and taking an active leadership role in divisional executive forums Work collaboratively with the business to maximize the probability of success of AI projects and initiatives. Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Qualifications/Education/Experience Requirements PhD or master's degree in Statistics, Mathematics, Computer Science or other relevant discipline. 5+ years of experience using large scale data to solve problems and answer questions. Prior experience in the Manufacturing Industry. Skills/Competencies Requirements Experience in building and deploying predictive models and scalable data pipelines Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. Knowledge of data warehousing concepts like ETL, dimensional modeling, and sematic/reporting layer design. Knowledge of emerging technologies such as columnar and NoSQL databases, predictive analytics, and unstructured data. Fluency in data science, analytics tools, and a selection of machine learning methods - Clustering, Regression, Decision Trees, Time Series Analysis, Natural Language Processing. Strong problem solving and decision-making skills Ability to explain deep technical information to non-technical parties Demonstrated growth mindset, enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems. Strong understanding of data governance/management concepts and practices. Strong background in systems development, including an understanding of project management methodologies and the development lifecycle. Proven history managing stakeholder relationships. Business case development. What We Offer You We believe that by continuously improving the quality of our benefits, we can help to raise the quality of life for our team members and their families. At First Quality you will receive: Competitive base salary and bonus opportunities Paid time off (three-week minimum) Medical, dental and vision starting day one 401(k) with employer match Paid parental leave Child and family care assistance (dependent care FSA with employer match up to $2500) Bundle of joy benefit (year's worth of free diapers to all team members with a new baby) Tuition assistance Wellness program with savings of up to $4,000 per year on insurance premiums ...and more! First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status. For immediate consideration, please go to the Careers section at ******************** to complete our online application.

Title: Data Analyst - Actuarial Support Reports To: VP, Actuary Department: Actuary Classification: Full-Time/Exempt Who We Are: Old Republic is a leading specialty insurer that operates diverse property & casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart. Old Republic Specialty Insurance Underwriters (ORSIU) is part of Old Republic International Corporation. We offer insurance and reinsurance spanning most lines of business, and partner with specialists who are committed to providing the highest levels of service with the products necessary to meet the unique needs of the Alternative Risks, Specialty Programs and Excess Casualty marketplace. Position Overview: The Data Analyst will assist the actuarial department by gathering, analyzing, and interpreting relevant data sources in support of pricing, reserving, filing, reporting, and other business needs. Note that this role is not a part of the actuarial exam program. Essential Job Functions: Collaborate with cross functional teams to improve data and automate reports where appropriate. Use analytics to spot trends, dependencies, and patterns. Acquiring and compiling structured and unstructured data while verifying its quality, accuracy, and reasonableness. Support actuarial department in responding to corporate/regulatory requests (state data calls, etc.), from determining requirements to data preparation to final exhibit creation. Align with operations team as part of ongoing system development/enhancements while enhancing data availability within the organization. Qualifications: Degree in Business, Computer Science or another related field. A minimum 2 years of P/C insurance experience is preferred. Strong analytical and problem-solving skills as well as solid oral and written communication skills Technical expertise in Microsoft Excel required; experience with Access, SQL, VBA, or other programming languages. ORI is an Equal Opportunity Employer. ORI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

HICO America, headquartered in Pittsburgh Pennsylvania with facilities in Los Angeles, Greensburg, PA, and Memphis TN, is part of the Power Systems business unit, in the Industrial Performance Group of the Hyosung Corporation, a large publicly traded corporation based in Seoul, South Korea. HICO is an ISO 9001 and 14001 certified company, with primary business in power system products. Reporting Structure: Reporting to the Manager of Purchasing Educational Requirement: Bachelor of Science or Similar: Supply Chain, Information Systems, Business Administration Computer Skill Requirements: SAP/HANA Experience: Advanced Skills working with Microsoft Xcel and Microsoft Teams/360. Travel: 0-5% The Procurement Data Analyst will analyze Purchasing Module data, identify errors, and set actionable insights that support the procurement department goals and initiatives. This role will also help review SAP data accuracy, develop dashboards, and ensure reporting consistency to help improve data accuracy and analysis. Responsibilities: Ensure data integrity and accuracy by performing data validation, and reconciliation activities. Compile, prepare, and analyze monthly KPI reports. Prepare monthly, quarterly, and annual reports and analyses. Act as a functional analyst to monitor and evaluate metric results. Provide coaching and training to SCM teams for effective adoption of Power BI reports. Download and maintain reports and translate to spreadsheets for department stakeholders. Work closely with cross-functional teams, including finance, IT, and business units, to understand data needs and translate them into technical requirements. Assist in the configuration and customization of SAP modules to meet specific business requirements. Provide training and support to end-users on SAP functionalities and best practices. Create and maintain documentation, including functional specifications, data flows, and user manuals. Strong analytical and problem-solving skills to interpret complex data and provide actionable insights. Develop and maintain reports and dashboards using SAP tools to track key performance indicators and business metrics. Excellent verbal and written communication skills to effectively convey technical information to non-technical stakeholders. HICO America provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

Pride Health is looking a Data Governance & Metadata Analyst to support our client's medical facility which in Philadelphia, PA (Onsite) Title :: Data Governance & Metadata Analyst Duration :: 10 + Month Contract with possibility of extension depends on your performance Rate :: $70 to 80/hr Job Summary: General Description: We are looking a highly skilled Data Governance & Metadata Analyst to serve as a liaison between technical teams and business stakeholders. This role is responsible for translating complex technical concepts related to metadata, governance, and reporting into clear, business-friendly documentation for the enterprise data catalog (Gene). The ideal candidate will support metadata completeness, advance governance initiatives, and improve transparency across core data domains Key Responsibilities Data Documentation & Translation Interpret and simplify complex technical concepts related to data assets, data lineage, reporting logic, and transformations for inclusion in the enterprise data catalog. Translate technical data rules into clear, actionable language for business and operational teams. Consolidate and summarize data rules for core domains (e.g., patient, provider) to ensure easy access for stakeholders. Create clear, user-friendly documentation explaining complex data processes in business terms. Define documentation standards and certification processes to ensure data quality and reliability. Ensure consistency, accuracy, and completeness of metadata and definitions across the data catalog. Metadata & Catalog Management Partner with Data Engineering and Data Analytics teams to document core and semantic tables in production. Identify gaps in existing metadata and collaborate with stakeholders to remediate them. Support enterprise metric documentation, including: Identifying and documenting enterprise metrics Creating frameworks to link related or similar metrics Retiring or remediating metrics without defined ownership Data Governance & Compliance Support data governance initiatives by maintaining transparency and traceability in data documentation. Collaborate with Research and Privacy teams to document PHI and PII handling guidelines for external data sharing. Create and maintain data policies for restricted data across the enterprise ecosystem. Partner with stakeholders to support and operationalize Data Retention policies in alignment with enterprise standards. Develop artifacts and documentation that make enterprise data initiatives accessible to both technical and business teams. Ensure governance policies are actionable, consistently applied, and linked to global enterprise policies. Required Skills & Qualifications Strong understanding of data management principles, including metadata, data quality, and reporting concepts. Proven ability to translate technical concepts into clear, concise, business-friendly documentation. Excellent communication and collaboration skills to work across technical and non-technical teams. Experience writing high-quality technical and business documentation. Bachelor's Degree (required). Benefits Pride Global offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors. Equal Opportunity Employer As a certified minority-owned business, Pride Global and its affiliates - including Russell Tobin, Pride Health, and Pride Now - are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

We are seeking a detail-oriented Data Quality Operations Analyst to support a high-visibility initiative focused on improving data accuracy and optimizing data processes. This role plays a critical part in ensuring the integrity of contract, pricing, and program data within enterprise systems. The ideal candidate has strong data entry skills, exceptional attention to detail, and the ability to work independently in a fast-paced environment. Experience in the insurance industry is a plus but not required. Key Responsibilities Review, validate, and reconcile contract and pricing information against system data to ensure completeness and accuracy Perform accurate data entry and updates within certain enterprise systems Identify, research, and resolve data discrepancies and inconsistencies Collaborate with account owners and certain team members to obtain missing information and clarify program structures Liaise with technology teams to support data-related inquiries and script preparation as needed Document findings, corrections, and updates in a clear, organized, and auditable manner Maintain high data quality standards while meeting project deadlines Required Qualifications Exceptional attention to detail with strong organizational and time-management skills Ability to maintain data accuracy and quality in a deadline-driven environment Experience navigating and updating information within enterprise systems or web-based portals Proficiency in Microsoft Office, particularly Excel Strong written and verbal communication skills Proven problem-solving ability and capability to work independently Preferred Qualifications Familiarity with property and casualty insurance, claims processes, or insurance terminology Prior experience in data quality, data operations, or data validation roles

We are seeking an experienced Data Scientist to join our Philadelphia team. This position will develop, test, and oversee the data infrastructure of Asylon's DroneCore systems, including data ingestion, data pipelines, data catalogs, and model learning. Due to the nature of the projects worked on in this position, applicants must be a U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees. Primary duties include: * Develop, test, and oversee data ingestion requirements, data pipelines, and data catalogs for data of different modalities, including videos, images, dense time-series data, and sparse metrics. * Develop new models to perform prediction and classification tasks, as well as refine and specialize existing models. * Spearhead the development of new data-driven, customer facing features. * Analyze collected data and produce business insights to improve Asylon processes and products. Required Skills and Experience: * Minimum of 5 years of hands-on experience in a Data Science role, with significant focus on real-time or streaming data. * Background in data science, computer science, mathematics, statistics, or related field * Data visualization * Linux * Large, distributed datasets * Creating data pipelines and catalogs * Image and video classification Preferred Experience: * Distributed systems * Cloud computing platforms (Azure, GCP, AWS, etc) * Kubernetes experience * Experience with best practices in data governance, including security, ethics, and compliance. * Leadership experience and experience building a data team * Python Job Type: Full-time Pay: $130,000 - $180,000 Schedule: * Monday to Friday * Weekends as needed Education: * Bachelor's (Required) Work Location: In person Job Type: Full-time Pay: $130,000.00 - $180,000.00 per year Benefits: * 401(k) * Dental insurance * Health insurance * Paid time off * Relocation assistance * Vision insurance Application Question(s): * Are youa U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees. Yes or No Experience: * Linux: 5 years (Required) * hands-on experience in a Data Science role: 5 years (Required) Work Location: In person

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Data Scientist for Medical Document Analysis (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material, and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role: As a Data Scientist specializing in medical document analysis, you will work at the forefront of healthcare NLP. You will design, implement, and evaluate advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision making. This includes developing models grounded in transformers, generative AI, and research-oriented neural architectures. You will collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams to bring research prototypes into production systems. You will explore new modeling approaches, optimize training pipelines, and contribute to the long-term direction of Solventum's deep learning portfolio. You Will Make an Impact By: Scoping and designing NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows. Translating business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable. Processing, aligning, and enriching diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems. Developing and evaluating deep learning models, including transformer-based architectures and neural architectures such as CNNs and attention mechanisms for capturing linguistic patterns in clinical text. Understanding and mitigating model weaknesses, including bias, drift, hallucination behavior, and robustness concerns. Designing experiments and error analyses that explain model behavior and enable clear communication with both technical and non-technical audiences. Deploying models into Solventum's cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems. Staying current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance Solventum's deep learning initiatives. Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Master's degree or PhD in computer science, mathematics, or related fields or Bachelor's degree with at least 5 years of IT experience Solid experience in Python especially in deep learning for text analysis and libraries such as PyTorch and Transformers Solid grasp of statistics and exploratory data analysis US citizenship or permanent resident required Additional qualifications that will help you succeed in the role: Experience conducting research-driven NLP/NLU work involving representation learning, attention mechanisms, or hybrid neural architectures. Ability to self-organize across multiple technical and business contexts, communicating complex findings with clarity and confidence. Experience extracting insights from complex clinical datasets and presenting those insights to varied audiences. Familiarity with AWS, GitHub, CI/CD, and scalable ML deployment practices. Hands-on experience with LLMs, prompting, fine-tuning, or agentic AI frameworks. Experience with ETL of large-scale text using tools such as PySpark, Spark NLP, or distributed data frameworks. Exposure to clinical coding systems or medical terminologies (e.g., ICD, CPT, SNOMED) is a plus. Work location: Remote Travel: Relocation Assistance: Not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Applicable to US Applicants Only:The expected compensation range for this position is $119,076 - $145,537, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: *************************************************************************************** of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. 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Job Description APR Supply Co. is a century-strong leader in the HVAC and Plumbing distribution industry - and we're redefining how data powers our business. As part of our ongoing digital transformation, we're building a modern, AI-enabled data platform centered on Microsoft Fabric to unlock intelligent insights, automate operations, and elevate customer experience. We're seeking an accomplished Data Scientist to help architect and advance this platform-integrating structured and unstructured data, enabling intelligent analytics, and driving the adoption of AI technologies across the enterprise. This is a new, high-impact position with strong executive support and tremendous opportunity to shape the future of data and AI at APR. If you're a data innovator eager to build from the ground up-combining deep technical expertise with strategic influence-this is your chance to make a lasting mark. The Opportunity As APR's Data Scientist, you'll take the lead in developing our Microsoft Fabric-based data ecosystem, from data lake ingestion and transformation to the creation of advanced analytics and AI models. You'll play a hands-on role designing Power BI dashboards and semantic models, while also pioneering the use of multimodal RAG (Retrieval-Augmented Generation), Copilot-style assistants, and AI-driven enrichment of text, image, and video data. This is a greenfield opportunity to define data excellence at APR-turning raw information into real-time decision intelligence and next-generation automation. What You'll Do Develop and maintain our Microsoft Fabric data lake and pipelines (OneLake, Dataflows Gen2, Spark). Build high-performance Power BI models and dashboards that enable enterprise-wide analytics. Integrate structured and unstructured data (text, images, documents, video) into a unified data ecosystem. Contribute to AI-driven solutions, including Retrieval-Augmented Generation (RAG) and Copilot-style tools. Collaborate with cross-functional teams to turn raw data into strategic business insights. What You Bring 5+ years of experience in data science, analytics, or BI development. Strong hands-on skills with Power BI, SQL, and Python. Experience with Microsoft Fabric, Azure Data Factory, or Synapse Pipelines. Familiarity with AI, NLP, or unstructured data processing. Excellent communication skills and the ability to partner with technical and business leaders. Why Join APR Supply Co.? Build the Future: Lead the design of our next-generation AI and data platform. Innovate with Purpose: Apply advanced analytics and AI to solve real business challenges. High Visibility: Work directly with executive leadership to influence enterprise strategy. Career Advancement: Grow toward leadership in AI engineering, data architecture, or product analytics. Join us in shaping the data future of a century-old company transforming through innovation. #IND-APR #ZIP-APR

7,000 Diseases - 500 Treatments - 1 Rare Pharmacy PANTHERx is the nation's largest rare disease pharmacy, and we put the patient experience at the top of everything that we do. If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you don't need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients. We are seeking team members who: Are inspired and compassionate problem solvers; Produce high quality work; Thrive in the excitement of the ever-challenging environment of modern medicine; and Are committed to achieving superior health outcomes for people living with rare and devastating diseases. At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases. Join the PANTHERx team, and define your own RxARE future in healthcare! Location: Pittsburgh, PA (Hybrid or Remote) Classification: Exempt Status: Full-Time Reports To: Data Scientist Purpose The Data Scientist is responsible for data modeling, model deployment, and model training, focusing on leveraging data to improve patient outcomes, optimize pharmacy operations, and support strategic decision-making. The ideal candidate will have experience in healthcare analytics, a strong foundation in statistical modeling and machine learning, and a passion for using data to drive innovation in specialty pharmacy services. Responsibilities Develops predictive models to support business needs. Identify patient adherence risks, optimize medication therapy management, etc. Applies machine learning techniques to uncover patterns in patient behavior, treatment efficacy, and operational efficiency. Translates complex data into actionable insights for pharmacy leadership and clinical teams. Participates in the end-to-end lifecycle of AI projects, from ideation to model deployment and monitoring. Supports strategic initiatives such as value-based care programs, payer reporting, and clinical trial analytics. Works with data engineers to ensure data integrity, accessibility, and security across pharmacy systems. Cleans, transforms, and validates large datasets from EMRs, claims, dispensing systems, and patient engagement platforms. Works with Data Architect to evaluate and implement new tools, technologies, and methodologies to advance the organization's AI capabilities. Communicates complex technical concepts and project outcomes to non-technical stakeholders, including executive leadership. Champions data governance, quality, and security best practices across the organization. Required Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Minimum of one (1) year of professional experience in data science. Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI). Strong understanding of data privacy, security, and compliance requirements (e.g., HIPAA, GDPR). Excellent communication and stakeholder management skills. Preferred Qualifications Master's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience with healthcare data standards (HL7, FHIR, NCPDP) and familiarity with HIPAA compliance. Experience with NLP for clinical text analysis. Knowledge of payer-provider dynamics and specialty pharmacy reimbursement models. Familiarity with the Azure cloud platform and Azure Databricks. Work Environment This position operates in a home or professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Physical Demands While performing the duties of this job, the employee is regularly required to sit, see, talk, or hear. The employee frequently is required to stand; walk; use hands and fingers, handle or feel; and reach with hands and arms. Visual acuity is necessary for tasks such as reading or working with various forms of data for extended periods on a computer screen. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job. Benefits: Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program! Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees. Of course we offer paid holidays too! Equal Opportunity: PANTHERx Rare Pharmacy is an equal opportunity employer, and does not discriminate in recruiting, hiring, promotions or any term or condition of employment based on race, age, religion, gender, ethnicity, sexual orientation, gender identity, disability, protected veteran's status, or any other characteristic protected by federal, state or local laws.

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen. The Pirates WhyThe Pittsburgh Pirates are a storied franchise in Major League Baseball who are reinventing themselves on every level. Boldly and relentlessly pursuing excellence by: purposefully developing a player and people-centered culture; deeply connecting with our fans, partners, and colleagues; passionately creating lifetime memories for generations of families and friends; and meaningfully impacting our communities and the game of baseball. At the Pirates, we believe in the power of a diverse workforce and strive to create an inclusive culture centered in Passion, Innovation, Respect, Accountability, Teamwork, Empathy, and Service.Job SummaryAs a Data Scientist on the Pirates Research & Development team, you will help transform a wealth of baseball data - from box scores and player tracking to video and biomechanics - into actionable insights that drive the Pirates to make better, faster acquisition, development, and deployment decisions. You will work closely with other data scientists, analysts, and software engineers across Baseball R&D as well as other stakeholders across Baseball Operations (scouts, coaches, player development, front office) to turn your statistical and machine learning models into actionable decision tools.Responsibilities: Design, build, validate, and deploy statistical and/or machine-learning models to support all facets of baseball operations, including scouting, player acquisition, player development, and on-field decision making. Build tools, prototypes, and visualizations to translate complex data and model results into insights understandable by coaches, players, and decision-makers. Communicate results and insights clearly to both technical and non-technical audiences. Partner with data engineers to build scalable data pipelines and maintain data quality. Stay abreast of new data sources, analytical techniques, and research. Help the organization experiment, learn, and iterate. Qualifications We recognize that no candidate will meet every qualification listed below. If you are excited about this role and believe you can add value to our work, we encourage you to apply even if your experience does not align perfectly with every requirement. Required: Degree (or equivalent experience) in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Economics, Machine Learning, Biomechanics, Engineering, Operations Research). Demonstrated experience applying complex statistical and/or machine learning tools to real-world problems. Demonstrated proficiency in a programming language such as Python or R for data analysis and modeling. Demonstrated ability to communicate complex quantitative concepts clearly, both written and verbally. Demonstrated experience collaborating with others on data science projects. Authorized to work lawfully in the United States. Desired: Familiarity with advanced statistical techniques (e.g., fixed-effect / random-effect models, generalized additive models, Bayesian modeling, probabilistic programming). Experience with machine-learning / deep-learning frameworks (e.g., PyTorch, Tensorflow), especially applied to high-dimensional, spatiotemporal, or biomechanical data. Background in computer vision, biomechanics, sports-science, or modeling of dynamic physical systems. Prior experience in sports analytics context; baseball is a plus. Experience with database languages (e.g., SQL) and working with large / relational datasets. Equal Opportunity EmployerThe Pittsburgh Pirates are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

About the Company At Bloomfield, we are revolutionizing the way crops are monitored and managed. Our AI-powered imaging technology provides continuous, plant-level health and performance insights from seed to harvest. Our mission is to empower farmers with the tools they need to increase crop productivity and quality while using fewer scarce resources, ultimately contributing to a more sustainable and food-secure future. In 2024, Kubota Corporation, a global leader in agricultural machinery and solutions, through its North American subsidiary, Kubota North America Corporation, acquired Bloomfield. This acquisition unites Bloomfield's innovative technology with Kubota's extensive resources and commitment to provide comprehensive smart agriculture solutions to farmers worldwide. Our combined expertise and resources will drive innovation and deliver benefits to farmers, ensuring a more sustainable and prosperous agricultural industry. About the Role Our AI team (7 engineers and scientists, growing) builds the models, data pipelines, and measurement frameworks that power our data products. We are now reorganizing the team into AI Platform and AI Product Streams. Each product stream will include two AI engineers focused on delivering customer-facing features end-to-end. This role sits on a Product Stream and focuses on turning real-world plant imagery into reliable data products for growers. We are looking for an AI Engineer - Product Data Scientist who is passionate about plant-based data, model development, and delivering real value to end-users. You will take an ask from the Product team (e.g., “We are counting citrus; we want to estimate their weight.”) and drive the early phases of the ML lifecycle: data selection annotation strategy data and annotation quality and exploration metric definition model selection and training This role is highly collaborative, hands-on with data, and focused on building AI capabilities that directly impact customers' operations. Responsibilities: Work closely with AI, Product, and Engineering teams to build AI product focusing on value delivered to customer Own the early ML lifecycle: data exploration, curation, annotation strategy, metric design, model prototyping, and experimentation Build quantitative and qualitative frameworks to describe plant behavior and crop characteristics Translate raw plant imagery and sensor data into business insights for specialty crops (e.g., citrus, grapes, berries) Partner with the AI Platform and Data Engineering teams to integrate algorithms into the production data pipeline Contribute to shaping our new AI Product Stream structure and workflows Qualifications: Demonstrated ability to explore and analyze image data to design and implement the early stages of a ML model lifecycle (data selection, exploration, cleaning, model design and training, performance evaluation) comfort working with real-world, messy data Solid Python experience Solid knowledge in Machine Learning and Computer Vision ability to design, conduct, and interpret experiments using appropriate statistical and scientific methods A product mindset - willing to iterate with users, look at thousands of images, define metrics, and refine models Bonus Points: knowledge of plant physiology, plant development, agronomy, or related discipline Experience with high-throughput phenotyping, crop estimation, or yield prediction Experience working with imagery or sensor data in agricultural environments Experience in Deep Learning Experience in C++ What We Offer In addition to the opportunity to apply and develop your skills toward key business objectives, we offer an excellent compensation package including: Competitive base salary & bonus Opportunity to shape the future of AI in agriculture within a small, focused team backed by Kubota Bloomfield is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, sexual orientation, disability, gender identity, protected veteran status, or other protected classes.

Check out what we have for you…. · Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match! · Access top-notch medical, dental, and vision benefits, including Telemedicine. · Boost your health with our wellness program and incentives. · Enjoy peace of mind with company-paid life insurance. · Celebrate with company-paid holidays and other paid time off. · Take advantage of Parental Leave to care for your family. · Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program. · Find support through our Employee Assistance Program. · Get access to the WBAC Gear Store for company swag. · A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results. · An inclusive atmosphere that values diverse voices. Get to Know Us! CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot. Job Summary: The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position. Key Duties and Responsibilities: · Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data. · Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies. · Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI. · Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts. · Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization. · Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies. · Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes. · Validate impact of Marketing Campaigns through experiments and causal analysis. Key Skills and Abilities: · Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail. · Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies. · Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders. · Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions. · Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning. · Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach. · Proficient with company-based systems, Microsoft Windows and Office Suite applications. Educational Requirements and Experience*: · Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field. · Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing. · Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar). · Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn). · Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL). · Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). · Familiarity with creating data analysis plans and executing A/B testing methodologies. Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer. · Must be able to lift to 15 pounds at times.

Job Description Check out what we have for you…. · Earn a competitive salary, plus grow your retirement savings with our 401k plan featuring company match! · Access top-notch medical, dental, and vision benefits, including Telemedicine. · Boost your health with our wellness program and incentives. · Enjoy peace of mind with company-paid life insurance. · Celebrate with company-paid holidays and other paid time off. · Take advantage of Parental Leave to care for your family. · Benefit from exclusive employee discounts including our exclusive Employee Sell and Purchase Vehicle program. · Find support through our Employee Assistance Program. · Get access to the WBAC Gear Store for company swag. · A supportive and collaborative environment where you are encouraged to work together with team members to achieve outstanding results. · An inclusive atmosphere that values diverse voices. Get to Know Us! CarGroup Holdings LLC, operating as webuyanycar.com USA, is a leading car buying service that offers a fast, safe, and fair way to sell your car. With a focus on providing a seamless and convenient experience, we offer free online valuations, hassle-free transactions, and fast payment on the spot. Job Summary: The Marketing Data Scientist will assist with driving the marketing strategy and decision-making through advanced data analysis, predictive modeling, and machine learning techniques. The Marketing Data Scientist's insights and recommendations will directly impact our marketing campaigns, customer engagement strategies, and overall business growth. This role requires a deep understanding of marketing analytics, statistical methods, and the ability to translate complex data into actionable insights. We are unable to offer sponsorship for this position. Key Duties and Responsibilities: · Utilize advanced data mining, statistical analysis, and machine learning techniques to identify trends, patterns, and insights from complex marketing data. · Develop predictive models and algorithms to optimize marketing campaigns, customer segmentation, and targeting strategies. · Collaborate closely with marketing teams to design experiments, analyze results, and provide actionable recommendations for improving campaign effectiveness and ROI. · Conduct deep-dive analysis to understand customer behavior, preferences, and lifetime value, and leverage these insights to personalize marketing efforts. · Build dashboards and visualizations to communicate key metrics and performance indicators to stakeholders, enabling data-driven decision-making across the organization. · Stay current with industry trends and best practices in marketing analytics, data science, and machine learning, and apply them to enhance our marketing strategies. · Work cross-functionally with the analytics team, IT team, and business stakeholders to ensure data quality, integrity, and accessibility for marketing analytics purposes. · Validate impact of Marketing Campaigns through experiments and causal analysis. Key Skills and Abilities: · Excellent analytical and problem-solving skills with the ability to interpret and communicate complex data analysis results effectively with strong attention to detail. · Must possess strong business acumen with proven experience of applying data science techniques to business problems to drive increased revenue or introduce operational efficiencies. · Proven ability to effectively communicate and to present findings and recommendations to non-technical stakeholders. · Possess a strong desire to know “how” and “why” things work, inclined toward sustainable and manageable solutions. · Have self-awareness of strengths and opportunities, ability to introspect, and self-develop by engaging in continuous learning. · Proven ability to work independently and collaboratively in a fast-paced environment, with a proactive and results-oriented approach. · Proficient with company-based systems, Microsoft Windows and Office Suite applications. Educational Requirements and Experience*: · Master's Degree (or equivalent level preferred) in Data Science, Statistics, Mathematics, or a related quantitative field. · Proven experience (3 years or more) in a data science or similar role within a commercial business, preferably consumer-facing. · Strong proficiency in programming languages such as Python or R, and experience with statistical analysis tools (e.g., SAS, SPSS, or similar). · Hands-on experience with machine learning techniques (e.g., regression, clustering, decision trees, neural networks) and frameworks (e.g., TensorFlow, scikit-learn). · Experience with data visualization tools (e.g., Tableau, Power BI) and database querying languages (e.g., SQL). · Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). · Familiarity with creating data analysis plans and executing A/B testing methodologies. Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer. · Must be able to lift to 15 pounds at times.

Greetings from Fabergent, Kindly let me know if you are currently available in the job market Feel free to reach me on ************ or tissa ATfabergent.com Please respond with your updated profile if interested Job Title : Data Scientist Duration: 6 months Job Description: • Selecting features, building and optimizing classifiers using machine learning techniques • Data mining using state-of-the-art methods • Extending company's data with third party sources of information when needed • Enhancing data collection procedures to include information that is relevant for building analytic systems • Processing, cleansing, and verifying the integrity of data used for analysis • Doing ad-hoc analysis and presenting results in a clear manner • Creating automated anomaly detection systems and constant tracking of its performance Additional Information All your information will be kept confidential according to EEO guidelines.

We are searching for a Staff Safety Data Scientist on the Safety Analysis team who is a technical leader and go-to expert for risk and safety guidance, leveraging deep expertise in data science to lead critical safety research. Your insights will drive the safety strategy and external safety communications, including the development of industry-leading, benchmark safety studies and frameworks. The role requires a strong background in risk and hazard assessment and exceptional communication and interpersonal skills. You will be responsible for applying advanced statistical analysis and probabilistic modeling to support the safety case, inform hardware and software decisions, and identify critical risk factors. You will collaborate with diverse stakeholders across engineering, operations, and product. In This Role, You Will: Lead the development of novel quantitative data analytics using both proprietary (Aurora-logged, sensor, system, integration testing data) and publicly available data (CRSS, FARS, state-level information). Author and present technical analyses and findings to diverse internal and external audiences, including stakeholders, authoritative bodies, and industry forums. Design and automate data collection and analysis to support ongoing safety programs. Extract insights from historical system safety performance to develop leading indicators for future performance forecasting. Analyze safety data from operational vehicles, crash metrics, and near-miss incidents to inform safety strategies and decision-making. Develop statistical models and algorithms to predict potential risks and prevent incidents, improving the safety performance of autonomous systems. Model self-driving vehicle behaviors at the system and subsystem levels. Develop and maintain reports and expressions of baseline risk coverage and application in operations. Design and develop expressions of risk benchmarking from similar industries. Create dashboards and reports for communicating risk, ranking, and anomalies. Present safety research findings to senior leadership and recommend actionable improvements to safety protocols and operational systems. Mentor and lead junior team members, fostering their professional growth. Required Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience. 7+ years of progressive experience solving large-scale complex problems. Demonstrated experience in a safety related domain (e.g., transportation, aerospace, robotics, medical devices). Strong understanding of safety principles and risk assessment methodologies; with a proven track record of using data science techniques to solve safety challenges and mitigate risks in a dynamic environment. Deep command of statistical methods, probabilistic modeling, and performing rapid exploratory data analysis. Expertise in data science tools (e.g., Python, SQL, R), statistical modeling, machine learning, predictive analytics, and visualization software (e.g., Tableau, Power BI). Adept at querying, analyzing, and visualizing large datasets. Excellent communication and presentation skills, with the ability to convey complex information to various audiences. Strong leadership skills, with the ability to provide guidance and mentorship. Ability to work independently, as part of a cross-functional team, or as a project lead. Desirable Qualifications Advanced degree in Statistics, Mathematics, Physics, Engineering, Computer Science, or equivalent applicable technical experience. Experience working in safety and risk, ideally complemented by a portfolio of publications, reports, or conference presentations. Familiarity with rapidly scaling operational environments. Proficient in working with advanced data transformation tools such as DBT. Skilled in building and deploying using Amazon Web Services (AWS) tools. Background in the Autonomous Vehicles, Aerospace, or Robotics domains. The base salary range for this position is $171,000 - $247,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Apply Data Scientist Department of Defense Defense Counterintelligence and Security Agency DCSA Apply Print Share * * * * Save * This job is open to * Requirements * How you will be evaluated * Required documents * How to apply DCSA's PEO (National Background Investigation Services (NBIS)) is looking for non-supervisory Data Scientist (Data Architect/Data Engineer/AI-ML Specialist). The incumbent will provide support, guidance and expertise in various Data Scientist functions. Performs a variety of duties that involve knowledge of a wide variety of Data Scientist applications, environments, and methods. Visit ************ - America's Gatekeeper! Summary DCSA's PEO (National Background Investigation Services (NBIS)) is looking for non-supervisory Data Scientist (Data Architect/Data Engineer/AI-ML Specialist). The incumbent will provide support, guidance and expertise in various Data Scientist functions. Performs a variety of duties that involve knowledge of a wide variety of Data Scientist applications, environments, and methods. Visit ************ - America's Gatekeeper! Overview Help Accepting applications Open & closing dates 01/05/2026 to 01/20/2026 Salary $63,815 to - $111,087 per year Pay scale & grade GG 9 - 11 Locations 1 vacancy in the following locations: Fort Meade, MD Hanover, MD Boyers, PA Farmers Branch, TX Show morefewer locations (2) Quantico, VA Stafford, VA Remote job No Telework eligible Yes-as determined by the agency policy. Travel Required 25% or less - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Permanent Work schedule Full-time Service Excepted Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Top Secret Drug test Yes Position sensitivity and risk Special-Sensitive (SS)/High Risk Trust determination process * National security Financial disclosure No Bargaining unit status No Announcement number DCSA-26-12857533-MP Control number 853560800 This job is open to Help Federal employees - Competitive service Current federal employees whose agencies follow the U.S. Office of Personnel Management's hiring rules and pay scales. Federal employees - Excepted service Current federal employees whose agencies have their own hiring rules, pay scales and evaluation criteria. National Guard and reserves Current members, those who want to join or transitioning military members. Special authorities Individuals eligible under a special authority not listed in another hiring path. Clarification from the agency This announcement is open to: Current Federal employees in the competitive and excepted service; Retained Grade Preference (RGP) eligibles, and Military Reserve and National Guard Technician eligibles may also apply. Videos Duties Help This position may be filled at either GG-9 or GG-11 grade level, please indicate the grade for which you want to be considered. Incumbent may be advanced non-competitively to the established target grade upon meeting developmental benchmarks, performance requirements, and other requirements, as applicable established for the career program or specifically for the incumbent. As a Data Scientist you will be responsible for the following duties: GG-09 * Identifies, collects and analyzes data to effectively support and advance projects or programs. * Applies analytic methods such as regression, decision tree and statistical probability to improve data reliability and quality. * Analyzes, interprets and correlates qualitative and quantitative data and develop recommended changes to improve results. * Manages and plans sequence of operations on a regular basis for assigned elements. * Implements strategies for system development and analysis, operational logistics, project funding/budgeting, project cost, schedule and performance management. * Collaborate with team members and stakeholders to ensure data accuracy and consistent reporting. GG-11 * Identifies, collects and analyzes data to effectively support and advance projects or programs. * Applies analytic methods such as regression, decision tree and statistical probability to improve data reliability and quality. * Collaborate with team members and stakeholders to ensure data accuracy and consistent reporting. * Inform management of anticipated revisions to theories, methodologies or procedures to satisfy non-standard complex program or project support of mission priorities. * Engages in routine contact with high-ranking individuals or groups such as flag officers and senior executive service members from the DOD and Federal Agencies. Requirements Help Conditions of employment * Must be a US citizen * Selective Service Requirement: Males born after 12-31-59 must be registered for Selective Service. For more information ****************** * Resume and supporting documents received by 11:59PM EST will be considered * This is a Drug Testing designated position * Position is a (DCIPS) position in the Excepted Service under U.S.C. 1601 * Work Schedule: Full Time * Overtime: Occasionally * Tour of Duty: Flexible * PCS (Permanent Change of Station): Not Authorized * Fair Labor Standards Act (FLSA): Exempt * Financial Disclosure: Not Required * Telework Eligibility: Supervisors may approve situational telework on a case-by-case, temporary basis for limited situations. * If selected, the incumbent must obtain and maintain appropriate security clearance as indicated in job announcement. * In accordance with DoDD 8140.01/DoDI 8140.02, the position compliance requirement details are outlined in the Defense Cyber Workforce Annex. * Any Information Technology/Security certifications / education specified in the DCWF Annex as defined by DoD 8140-M within six months of appointment date. * The incumbent must sign a Statement of Understanding regarding the certification requirements and maintaining the appropriate certification is a condition of employment. * This position requires Defense Acquisition Workforce Improvement Act Foundational certification in Engineering and Technical Management. * Applicants are expected to meet all related certification requirements per the Department of Defense Instruction 5000.66. * Applicants that do not meet this requirement are eligible to be hired but must obtain a Engineering and Technical Management Foundational certification within 3 years (36 months) after the first day of starting in the position. Qualifications The experience described in your resume will be evaluated and screened from the Office of Personnel Management's (OPMs) basic qualifications requirements. See: Information Technology (IT) Management Series 2210 (Alternative A) for OPM qualification standards, competencies and specialized experience needed to perform the duties of the position as described in the MAJOR DUTIES and QUALIFICATIONS sections of this announcement by 01/20/2026 Applicant must have directly applicable experience that demonstrates the possession of the knowledge, skills, abilities and competencies necessary for immediate success in the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills and abilities necessary to successfully perform the duties of the position. GG-09 You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade GS/GG-07 in the Federal service and are prepared to take on greater responsibility. Generally, this would include one year or more of such specialized experience. Specialized experience for this position includes: * Applying statistical/machine learning algorithms to analyze structured and unstructured data. * Developing predictive data models, quantitative analyses, and targeting data sources. * Use of statistical and general-purpose programming languages for data analysis. OR Education Substitution of Education for Specialized Experience -master's or equivalent graduate degree or 2 full years of progressively higher level graduate education leading to such a degree or LL.B. or J.D., if related GG-11 You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade GS/GG-09 in the Federal service and are prepared to take on greater responsibility. Generally, this would include one year or more of such specialized experience. Specialized experience for this position includes: * Applying statistical/machine learning algorithms to analyze structured and unstructured data. * Leading data analysis projects using predictive data models, quantitative analyses, and targeting data sources. * Explain actionable insights from data analysis to senior management and key stakeholders within DCSA and/or the federal government. OR Education Substitution of Education for Specialized Experience -Ph.D. or equivalent doctoral degree or 3 full years of progressively higher level graduate education leading to such a degree or LL.M., if related Specifically you will be evaluated on the following competencies for the GG-09 & GG-11: * Data Mining - Computing process of discovering patterns in a large data set involving methods at the intersection of machine learning, statistics, and database systems. * Data Management - Knowledge of the principles, procedures, and tools of data management, such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes. * Software and Programming - Understand a variety of programming languages, data warehousing platforms, big data software, and version control applications. * Qualitative / Quantitative Analysis - Developing and applying quantitative and qualitative analytic methods to identify, collect, process, and analyze large data sets. Education If substituting education for experience at the GG-09 level, you must possess a masters or equivalent degree OR 2 full years of progressively higher graduate education leading to such a degree, OR LL.B. or J.D., if related. If substituting education for experience at the GG-11 level, you must possess a Ph.D. or equivalent doctoral degree or 3 full years of progressively higher graduate education leading to such a degree, OR LL.M., if related. If substituting or combining education for experience, transcripts MUST be provided. Failure to provide transcripts will result in you being rated ineligible for this position. Superior Academic Achievement does not apply to DCIPS positions. If substituting education for experience, transcripts MUST be provided. Failure to provide transcripts will result in you being rated ineligible for this position. Foreign Education: For further information, click on the following link: ************************************************************************* Additional information VETERANS PREFERENCE/CURRENT OR FORMER FEDERAL In accordance with DoD Instruction 1400.25, Volume 2005, veterans preference is not required to be applied when considering candidates with prior Federal competitive or excepted service who have completed a probationary or trial period and have not been separated for cause. Therefore, veterans preference will not be applied to applicants with current federal service, or former federal civilian service meeting the above criteria. Re-employed Annuitant: This position does not meet criteria for re-employed annuitant. The DoD criteria for hiring Re-employed Annuitants can be found at: ********************************************************************************* Applicants selected from this announcement may be required to serve a two-year trial period. If selected, Federal employees currently serving in the competitive service must acknowledge that they will voluntarily leave the competitive service by accepting an offer of employment for a DCIPS excepted service positions. If selected, non-DCIPS candidates must acknowledge in writing that the position they have been selected for is in the excepted service and covered by DCIPS. All Defense Intelligence positions under the Defense Civilian Intelligence Personnel System (DCIPS) are in the excepted service by specific statue, 10 U.S.C. 1601. This position is in the excepted service and does not confer competitive status. For more information on the DCIPS occupational structure click here. For more information about career advancement in DCIPS click here. ACQUISITION POSITION: This position requires a Defense Acquisition Workforce Improvement Act (DAWIA) Foundational certification in Engineering & Technical Management. Certification prior to hiring is not essential but must be accomplished within 3 years (36 months) after entry into this position. For information regarding the DAWIA Back to Basics please visit: Home (dau.edu) or Back to Basics - Helpful Resources (dau.edu) * DAWIA (Back to Basics) Certification: NON-CAP: Position requires DoD Acquisition Foundational certification in Engineering & Technical Management within required timeframes. Selectee must also achieve 80 hours of Continuous Learning Points (CLPs) every 2-years. Click here for more details and Resources. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. You will be evaluated based on how well you meet the qualifications listed in this vacancy announcement. Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents), and the responses you provide on the application questionnaire. EXCEPTED SERVICE PILOT REVIEW: Once the application process is complete, a review of your application will be made to ensure you meet the qualification requirements listed on this announcement. All applicants who meet the basic qualification requirements will be forwarded to the Selecting Official for consideration. Competencies: Customer Service, Decision Making, Flexibility, and Planning and Evaluating You should list any relevant performance appraisals and incentive awards in your resume as that information may be taken into consideration during the selection process. If selected, you may be required to provide supporting documentation. Top ranked candidates will be referred to the selecting official for further review and consideration. A review of your resume and supporting documentation will be made and compared against your responses to the Assessment Questionnaire to determine if you are qualified for this job. If your resume is incomplete or does not support the responses provided in the Assessment Questionnaire, or if you fail to submit all required documentation, you will be rated 'ineligible', 'not qualified'. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. All eligibility and qualifications requirements must be met by the closing date of this announcement. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The documents you are required to submit vary based on the authority you are using to apply (i.e., applying as a veteran, applying as a current permanent Federal employee, applying as a reinstatement, etc.). Your complete application includes your COMPLETE resume, your responses to the online questionnaire, and documents which prove your eligibility to apply. If you fail to provide these documents, you will be marked as having an incomplete application package and you will not be considered any further. The following documents are REQUIRED: 1. Your resume: * All applicants are required to submit a resume limited to two (2) pages showing all relevant experience. Your resume must address your qualifications for the position, and it may not exceed two (2) pages. Your 2-page (or less) resume must be in PDF format, with no smaller than a 0.5" margin and no smaller than a 10-point font. If you submit a resume that exceeds the two-page limit and/or does not meet the margin or font limitations stated herein, you will immediately be deemed ineligible for this position and will be removed from further consideration. Must include the work schedule, hours worked per week, dates of employment, and duties performed. * If you submit more than one copy of your resume, only the most recent version will be reviewed. The latest timestamp will be used to determine which version of your resume is "most recent." * If your resume includes a photograph or other inappropriate material or content, it will not be used to make eligibility and qualification determinations and you will not be considered for this vacancy. * Narrative responses in the assessment questionnaire do not replace content in your resume or vise a versa. Experience must be described in both places for qualification determinations. * Resumes should NOT include: Classified information/SSN/Photo of yourself/personal information (gender, religion, affiliation etc., Encrypted digitally signed docs). Resumes with this prohibited information will be automatically ineligible for consideration. * For qualifications determinations your resume must contain the dates of employment (i.e., Month/Year to present. Hours per Week). * If your resume does not clearly outline details for each position as noted, you may be deemed "not referred" for this position. * Additional guidance on writing a federal resume can be found at: USAJOBS Help Center - How do I write a resume for a federal job? The resume builder can help you create a resume using these recommendations and uses the information in your USAJOBS profile to help you get started. 2. Transcripts: * College transcript (s), required if qualifying based on education. We accept unofficial transcripts, as long as they contain your name, the name of the school, the date and degree that was awarded, and the list of classes and credits earned. 3. SF50 * All current and former civilian Federal employees must submit a copy of your MOST RECENT SF50 (Notification of Personnel Action) showing your tenure, grade and step, salary, and type of position occupied (i.e., Excepted or Competitive); or similar Notification of Personnel Action documentation, i.e., Transcript of Service, Form 1150, etc. Failure to provide latest SF50 may result in you being rated ineligible for this position. 4. Veteran's Documents: * If applying using veteran's preference or under a Veteran's hiring authority you must submit the following documents: DD214 showing character of service, SF-15 Form and VA letter showing final percentage, or certification of expected discharge or release from active duty. NOTE: Active duty military members are not eligible for appointment unless currently on terminal leave. PLEASE REVIEW THE BELOW LINK FOR OTHER SUPPORTING DOCUMENTS needed for proof of eligibility: *********************************************************************************************************** If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. How to Apply Help To apply for this position, you must complete the online application and submit the documentation specified in the Required Documents section below. The complete application package must be submitted by 11:59 PM (EST) on the closing date to receive consideration. * To begin, click Apply Online to access an online application. Follow the prompts to select your USAJOBS resume and/or other supporting documents. You will need to be logged into your USAJOBS account or you may need to create a new account. * You will be taken to an online application. Complete the online application, verify the required documentation, and submit the application. NOTE: Resumes up to a total of two pages will be accepted. Resumes exceeding two pages will be removed from consideration. * You will receive an email notification when your application has been received for the announcement. * To verify the status of your application, log into your USAJOBS account, ************************ select the Application Status link and then select the More Information link for this position. The Application Status page will display the status of your application, the documentation received and processed, and your responses submitted to the online application. Your uploaded documents may take several hours to clear the virus scan process. To preview the questionnaire, please go to ********************************************************* Please review the General Application Information and Definitions at: ************************************************************************************************************************** Agency contact information DCSA Servicing Team Phone ************ Email ****************** Address Defense Counterintelligence and Security Agency 27130 Telegraph Road Quantico, VA 22134 US Next steps Once you successfully complete the application process, you will receive a notification of receipt. Your application package will be reviewed to ensure you meet the basic eligibility and qualifications requirements, and you will receive a notification. A review will be made of your online questionnaire and the documentation you submitted to support your responses. A list of qualified applicants will be created and sent to the selecting official. All applicants reviewed and/or referred will receive a notification letter. The selecting official may choose to conduct interviews, and once the selection is made, you will receive a notification of the decision. * NOTE: If you submit a resume but no questionnaire, you cannot be considered for the position. If you submit a questionnaire but no resume, you cannot be considered for the position. Your application will be appropriately documented and you will be removed from further competition against this announcement. REGARDING INTERVIEWS: Interviews may be required for this position. Accommodations may be made to conduct telephonic interviews to preclude travel hardships for applicants. Note: Declining to be interviewed or failure to report for a scheduled interview will be considered as a declination for further consideration for employment against this vacancy. The Defense Counterintelligence and Security Agency provides reasonable accommodations to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please notify the point of contact for this job announcement. Your requests for reasonable accommodation will be addressed on a case-by-case basis. This announcement may be used to fill additional vacancies. Fair and transparent The Federal hiring process is set up to be fair and transparent. Please read the following guidance. Criminal history inquiries Equal Employment Opportunity (EEO) Policy Financial suitability New employee probationary period Privacy Act Reasonable accommodation policy Selective Service Signature and false statements Social security number request Required Documents Help The documents you are required to submit vary based on the authority you are using to apply (i.e., applying as a veteran, applying as a current permanent Federal employee, applying as a reinstatement, etc.). Your complete application includes your COMPLETE resume, your responses to the online questionnaire, and documents which prove your eligibility to apply. If you fail to provide these documents, you will be marked as having an incomplete application package and you will not be considered any further. The following documents are REQUIRED: 1. Your resume: * All applicants are required to submit a resume limited to two (2) pages showing all relevant experience. Your resume must address your qualifications for the position, and it may not exceed two (2) pages. Your 2-page (or less) resume must be in PDF format, with no smaller than a 0.5" margin and no smaller than a 10-point font. If you submit a resume that exceeds the two-page limit and/or does not meet the margin or font limitations stated herein, you will immediately be deemed ineligible for this position and will be removed from further consideration. Must include the work schedule, hours worked per week, dates of employment, and duties performed. * If you submit more than one copy of your resume, only the most recent version will be reviewed. The latest timestamp will be used to determine which version of your resume is "most recent." * If your resume includes a photograph or other inappropriate material or content, it will not be used to make eligibility and qualification determinations and you will not be considered for this vacancy. * Narrative responses in the assessment questionnaire do not replace content in your resume or vise a versa. Experience must be described in both places for qualification determinations. * Resumes should NOT include: Classified information/SSN/Photo of yourself/personal information (gender, religion, affiliation etc., Encrypted digitally signed docs). Resumes with this prohibited information will be automatically ineligible for consideration. * For qualifications determinations your resume must contain the dates of employment (i.e., Month/Year to present. Hours per Week). * If your resume does not clearly outline details for each position as noted, you may be deemed "not referred" for this position. * Additional guidance on writing a federal resume can be found at: USAJOBS Help Center - How do I write a resume for a federal job? The resume builder can help you create a resume using these recommendations and uses the information in your USAJOBS profile to help you get started. 2. Transcripts: * College transcript (s), required if qualifying based on education. We accept unofficial transcripts, as long as they contain your name, the name of the school, the date and degree that was awarded, and the list of classes and credits earned. 3. SF50 * All current and former civilian Federal employees must submit a copy of your MOST RECENT SF50 (Notification of Personnel Action) showing your tenure, grade and step, salary, and type of position occupied (i.e., Excepted or Competitive); or similar Notification of Personnel Action documentation, i.e., Transcript of Service, Form 1150, etc. Failure to provide latest SF50 may result in you being rated ineligible for this position. 4. Veteran's Documents: * If applying using veteran's preference or under a Veteran's hiring authority you must submit the following documents: DD214 showing character of service, SF-15 Form and VA letter showing final percentage, or certification of expected discharge or release from active duty. NOTE: Active duty military members are not eligible for appointment unless currently on terminal leave. PLEASE REVIEW THE BELOW LINK FOR OTHER SUPPORTING DOCUMENTS needed for proof of eligibility: *********************************************************************************************************** If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Introduction: RETTEW is seeking a motivated intern to join our Natural Sciences Team for Summer 2026. This internship offers hands-on experience, professional mentorship, and the chance to contribute to meaningful projects that impact our clients and communities. About RETTEW: At RETTEW, we bring our clients' goals to life through engineering, environmental, and consulting solutions. As a 100% employee-owned firm, we empower our people to think like owners, act with integrity, and deliver excellence. Our teams work across industries including transportation, energy, land development, and municipal infrastructure, always focused on technical quality and strong relationships. Position Summary / What You'll Do: As an Environmental Scientist Intern, you will support the Natural Sciences Team with technical tasks, project coordination, and field/office assignments. This role is designed to give you exposure to real-world consulting work and help you build skills that support your academic and career development. You will assist in conducting wetland delineations, collecting field data, and supporting environmental assessments. This is a hands-on opportunity to gain experience in regulatory frameworks, field methodologies, and ecological consulting. Responsibilities / Day-to-Day: · Assist with wetland delineations following U.S. Army Corps of Engineers protocols · Collect and record vegetation, soil, and hydrology data in the field · Use GPS and GIS tools to map wetland boundaries · Support report preparation and data analysis · Collaborate with engineers, scientists, and project managers · Contribute to team meetings, brainstorming, and client deliverables · Other duties as assigned to support the project team Qualifications: Required Current enrollment in Environmental Science, Ecology, Biology, or related field Strong academic standing Proficiency in MS Office Good communication and teamwork skills Coursework or experience in wetland ecology, botany, or soil science preferred Ability to work outdoors in varying conditions and terrains Strong attention to detail and willingness to learn Must have a valid driver's license Preferred Previous internship or relevant project experience Familiarity with GPS/GIS tools is a plus What We Offer: Competitive hourly rate ($18-$20/hour) Mentorship from industry professionals Exposure to real client projects and deliverables Networking opportunities across RETTEW teams A culture that values ownership, relationships, and excellence RETTEW is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at ******************* to request assistance. #LI-Hybrid Requirements Requirements listed above

FuturePlan is the nation's largest third-party administrator (TPA) of retirement plans, partnering with advisors in all 50 states. FuturePlan delivers the best of both worlds: high-touch personalized service from local TPAs backed by the strength and security of a large national firm, Ascensus. Our roots go back decades, with nearly 30 outstanding legacy firms now joined together to deliver unmatched levels of service, innovation and expertise to a fast-growing client base from coast to coast. The FuturePlan team includes more than 500 credentialed plan professionals, 60 actuaries, and one of the industry's largest in-house ERISA teams. Learn more at FuturePlan.com. Job Description Section 1: Position Summary High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit, Cash Balance plans and DB/DC Combo plans. Section 2: Job Functions, Essential Duties and Responsibilities Review, prepare and/or certify client projects and ensure accurate client deliverables including: - Actuarial valuations and reports - Benefit statements - Plan documents, amendments, employee communications (SPDs, etc.) - Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) - IRS determination filings and PBGC (Form 500 series) termination submissions - ASC 715/960 - Perform and review combined plan non-discrimination testing Answer technical questions posed by staff Research the Internal Revenue Code and other technical resources to resolve client issues Provide technical training for staff Provide back up to other teams as necessary Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. Assist with other tasks and projects as assigned Supervision N/A Section 3: Experience, Skills, Knowledge Requirements Bachelor's degree in actuarial science, math or math related field Enrolled Actuary designation with 5 years industry experience Advanced understanding of: - Pension law - Plan documents and IRS favorable determination letters - Actuarial valuations and software systems Excellent technical/analytical skills Ability to research technical issues Ability to explain technical issues to all levels of associates Good verbal and written communication skills Demonstrated expertise with Microsoft Office, particularly Excel applications Demonstrated expertise with industry recognized pension valuation software Detail and accuracy oriented Good time management skills Team Player Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.